Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Oxana Ye, Rodionova"'
Publikováno v:
Molecules, Vol 27, Iss 22, p 7904 (2022)
This study presents the kinetic modeling of the natural long-term aging of the pharmaceutical substance as well as the intact tablets of Diclofenac. Datasets are collections of near-infrared spectra acquired from the intact tablets packed in plastic
Externí odkaz:
https://doaj.org/article/e0b4f45d11af41e29a86731780cd36b6
Publikováno v:
Analytical Chemistry. 92:2656-2664
Previously, we have introduced an approach for calculation of the full object distance in the frame of Principal Component Analysis that can be applied to data exploration and classification. Now, a similar approach has been developed for regression
Autor:
Pablo Inocêncio Monteiro, Alexey L. Pomerantsev, Oxana Ye. Rodionova, Jânio Sousa Santos, Neiva Deliberali Rosso, Daniel Granato, Eduardo S. Chaves
Publikováno v:
Journal of Food Science. 84:3099-3108
In this work, different chemometric tools were compared to classify n = 26 conventional (CONV) and n = 19 organic (ORG) coffees from the main Brazilian producing regions based on the chemical composition, physicochemical properties, and antioxidant a
Publikováno v:
Food Chemistry, Function and Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56980025d7fce69f837b6f80a6ac6af1
https://doi.org/10.1039/9781839165337-00396
https://doi.org/10.1039/9781839165337-00396
Basic tools for exploration and interpretation of Principal Component Analysis (PCA) results are well- known and thoroughly described in many comprehensive tutorials. However, in the recent decade, several new tools have been developed. Some of them
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1ac73b84f58d438a10222fd77fd04de
https://doi.org/10.26434/chemrxiv.13340711
https://doi.org/10.26434/chemrxiv.13340711
Publikováno v:
Kucheryavskiy, S, Zhilin, S, Rodionova, O & Pomerantsev, A 2020, ' Procrustes Cross-Validation—A Bridge between Cross-Validation and Independent Validation Sets ', Analytical Chemistry, vol. 92, no. 17, pp. 11842-11850 . https://doi.org/10.1021/acs.analchem.0c02175
In this paper, we propose a new approach for validation of chemometric models. It is based on k-fold cross-validation algorithm, but in contrast to conventional cross-validation, our approach makes it possible to create a new dataset, which carries s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85cc78bbaa036f5635ed3ed8bfeefb74
https://vbn.aau.dk/da/publications/b7c08682-d805-4bcc-8a63-2b36e7cf6eb6
https://vbn.aau.dk/da/publications/b7c08682-d805-4bcc-8a63-2b36e7cf6eb6
Publikováno v:
Journal of Chemometrics. 34
Publikováno v:
Comprehensive Chemometrics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38f4897684ceae58afcab50f440b4eea
https://doi.org/10.1016/b978-0-12-409547-2.14588-3
https://doi.org/10.1016/b978-0-12-409547-2.14588-3
Autor:
Danijela Bursać Kovačević, Basil Jarvis, Verônica Calado, Daniel Granato, Oxana Ye. Rodionova, Ramon S. Rocha, Jânio Sousa Santos, Alexey L. Pomerantsev, Predrag Putnik, Adriano G. Cruz
Publikováno v:
Comprehensive Reviews in Food Science and Food Safety. 17:663-677
In the last decade, the use of multivariate statistical techniques developed for analytical chemistry has been adopted widely in food science and technology. Usually, chemometrics is applied when there is a large and complex dataset, in terms of samp